Inland waters and wetlands linked with these bodies of water are crucial natural resources for water supply, recreation, transportation, and fishery, also play key roles in global carbon and nutrient cycles, and support diverse functions in ecosystems. Owing to the close proximity of terrestrial contributions, inland waters are under various pressures from anthropogenic activities as well as climate change. Remote sensing provides multitude of tools that can be used in inland waters with active and passive sensors on satellite, airborne, ship board and underwater platforms. Supported by in situ measurements, remote sensing can provide an essential contribution to the retrieval of bio-geophysical parameters (water quality and temperature), generation of thematic maps relevant to hydrogeological studies, as well as the inventories of surface water for a more detailed list. Inland waters with varied sizes can be detected with images acquired with different sensors, particularly with different spectral, spatial, temporal and radiometric resolution. Thus, this Research Topic is to evaluate different imagery data to monitor inland waters (e.g., lakes, reservoirs, ponds, rivers, streams, and some wetlands mosaicked with surface waters) from current and future sensors, and further to retrieve water qualities and assess these retrieval water quality parameters for aquatic ecosystem managements as well.
This Research Topic is dedicated to the application of remote sensing technologies to the identification, characterization, monitoring and mapping of inland waters (vegetated wetlands, rivers, lakes, and reservoirs). Specifically, the Research Topic mainly covers these aspects: inland water hydrology, water quality, spatiotemporal water surface extent and water surface elevation. Review articles on the data processing platform (e.g., SNAP and GEE) applications and Original Research articles focusing on empirical modeling, machine learning, change detection, as well as multi-sensor (e.g., short and long wave multispectral, spatial-temporal-spectral fusion) data analysis are encouraged.
The Research Topic includes, but is not limited to the following topics:
• New satellite instrument evaluation and applications;
• Performance of atmospheric correction processors;
• Mapping, monitoring and classification of inland waters using remote sensing at a large scale;
• Remote sensing of water surface spatiotemporal variation or surface elevation;
• Remote sensing modes or algorithms of inland water qualities;
• Assessment and monitoring of partial pressure of carbon dioxide, carbon fluxes or storages of inland waters;
• Remote sensing of aquatic ecosystems with various images
• Mapping and monitoring of inland water resources
• Lake ecosystem responses to natural/human interventions or climate change
• Review of inland waters-based projects, progress, and perspectives
Other relevant research studies to inland waters remote sensing are also welcomed.
Inland waters and wetlands linked with these bodies of water are crucial natural resources for water supply, recreation, transportation, and fishery, also play key roles in global carbon and nutrient cycles, and support diverse functions in ecosystems. Owing to the close proximity of terrestrial contributions, inland waters are under various pressures from anthropogenic activities as well as climate change. Remote sensing provides multitude of tools that can be used in inland waters with active and passive sensors on satellite, airborne, ship board and underwater platforms. Supported by in situ measurements, remote sensing can provide an essential contribution to the retrieval of bio-geophysical parameters (water quality and temperature), generation of thematic maps relevant to hydrogeological studies, as well as the inventories of surface water for a more detailed list. Inland waters with varied sizes can be detected with images acquired with different sensors, particularly with different spectral, spatial, temporal and radiometric resolution. Thus, this Research Topic is to evaluate different imagery data to monitor inland waters (e.g., lakes, reservoirs, ponds, rivers, streams, and some wetlands mosaicked with surface waters) from current and future sensors, and further to retrieve water qualities and assess these retrieval water quality parameters for aquatic ecosystem managements as well.
This Research Topic is dedicated to the application of remote sensing technologies to the identification, characterization, monitoring and mapping of inland waters (vegetated wetlands, rivers, lakes, and reservoirs). Specifically, the Research Topic mainly covers these aspects: inland water hydrology, water quality, spatiotemporal water surface extent and water surface elevation. Review articles on the data processing platform (e.g., SNAP and GEE) applications and Original Research articles focusing on empirical modeling, machine learning, change detection, as well as multi-sensor (e.g., short and long wave multispectral, spatial-temporal-spectral fusion) data analysis are encouraged.
The Research Topic includes, but is not limited to the following topics:
• New satellite instrument evaluation and applications;
• Performance of atmospheric correction processors;
• Mapping, monitoring and classification of inland waters using remote sensing at a large scale;
• Remote sensing of water surface spatiotemporal variation or surface elevation;
• Remote sensing modes or algorithms of inland water qualities;
• Assessment and monitoring of partial pressure of carbon dioxide, carbon fluxes or storages of inland waters;
• Remote sensing of aquatic ecosystems with various images
• Mapping and monitoring of inland water resources
• Lake ecosystem responses to natural/human interventions or climate change
• Review of inland waters-based projects, progress, and perspectives
Other relevant research studies to inland waters remote sensing are also welcomed.
